Drawing on a large database of publicly announced R&D alliances, we track the evolution of R&D networks in a large number of economic sectors over a long time period (1986-2009). Our main goal is to evaluate temporal and sectoral robustness of the main statistical properties of empirical R&D...

We study how network structure affects the dynamics of collateral in presence of rehypothecation. We build a simple model wherein banks interact via chains of repo contracts and use their proprietary collateral or re-use the collateral obtained by other banks via reverse repos. In this...

Harberger's 'A Vision of the Growth Process', Presidential Address at the 1998 Annual Meeting of the American Economic Association, provides evidence that contributions to aggregate real cost reduction (RCR) are concentrated in a small number of industries. According to Harberger, this is...

This work explores some distributional properties of aggregate output growth-rate time series. We show that, in the majority of OECD countries, output growth-rate distributions are well-approximated by symmetric exponential-power densities with tails much fatter than those of a Gaussian. Fat...

This paper employs a homogenous firms database to investigate industry localization in European countries. More specifically, we compare, across industries and countries, the predictions of two of the most popular localization indices, i.e., the Ellison and Glaeser index (Ellison and Glaeser,...

This paper studies how the interplay between technological shocks and financial variables shapes the properties of macroeconomic dynamics. Most of the existing literature has based the analysis of aggregate macroeconomic regularities on the representative agent hypothesis (RAH). However, recent...

In this paper, we perform an empirical comparison of Italian and US business cycles. After filtering the time series of the main macroeconomic variables of the two countries, through an approximate bandpass filter, we analyze the cross-correlations between each filtered variable and the filtered...

This work studies the interactions between income distribution and monetary and fiscal policies in terms of ensuing dynamics of macro variables (GDP growth, unemployment, etc.) on the grounds of an agent-based Keynesian model. The direct ancestor of this work is the 'Keynes meeting Schumpeter'...

We study the impact of alternative detrending techniques on the distributional properties of U.S. output time series. We detrend GDP and industrial production time series employing first-differencing, Hodrick-Prescott and bandpass filters. We show that the resulting distributions can be...

We develop a macroeconomic agent-based model to study the role of systemically important banks (SIBs) in financial stability and the effectiveness of capital surcharges on SIBs as a risk management tool. The model is populated by heterogeneous firms, consumers, and banks interacting locally in...